-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathindex.jemdoc
39 lines (34 loc) · 3.65 KB
/
index.jemdoc
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
~~~
{}{img_left}{IMG_20190530_144358.jpg}{GRC on Neuromodulation, 2018}{172px}{230px}
= Shivesh Chaudhary
PhD Candidate\n
[http://www.lulab.gatech.edu/ Lu Lab], Georgia Tech\n
+1 470-779-3907\n
[CV_Shivesh_v4.pdf *CV*] ~~ [https://scholar.google.com/citations?user=QPyHazUAAAAJ&hl=en *Google Scholar*] ~~ [https://github.com/shiveshc *Github*] ~~ {{ <img alt="Twitter Follow" src="https://img.shields.io/twitter/follow/shiveshc?style=social"> }}\n
#{{ <div class="boxed"><a href=20220112_CV_Shivesh.pdf>CV</a></div> }} {{ <a href=https://scholar.google.com/citations?user=QPyHazUAAAAJ&hl=en><p class="boxed">Google Scholar</p></a> }}
~~~
== Research Interests
I am an experimentalist and computational scientist bringing in tools from machine-learning and computer vision to neuroscience.\n
I am particularly interested in how stimulus and behavior is encoded in /C. elegans/ brain, and how global brain activity evolves over long timescales.\n
\n
My current PhD work areas include:
- Automated cell identification in /C. elegans/ whole-brain images
- Hybrid probabilistic graphical models for accurate tracking of neurons in whole-brain videos
- Deep learning based whole-brain 3D cell segmentation
- Microfluidic paradigms for naturalistic chemical-mechanical stimulation and simultaneous whole-brain imaging
\n
\n
I easily get interested in broad scientific areas. Thus I am also interested in *Computational Microscopy*, *Optimization Methods*, *Optimal Transport*, *Deep Learning for Combinatorial Optimization* etc.
== News
- +\[June 2022\]+ Deep denoising for calcium imaging [https://www.biorxiv.org/content/10.1101/2022.04.13.488233v1.full paper] is accepted in Nature Communications 2022.
- +\[April 2022\]+ Attended annual Southeast Center for Mathematics and Biology (SCMB) symposium at Flatiron Institute, NYC. Presented 1 poster.
- +\[Jan 2022\]+ Awarded 3rd place prize in [https://research.gatech.edu/2022-suddath-award-winners 2022 Suddath Awards] at Georgia Tech.
- +\[Jan 2022\]+ [https://github.com/shiveshc/whole-brain_DeepDenoising/ Code] released for Whole-Brain Deep Denoising paper.
- +\[Nov 2021\]+ Presented 3 talks at [https://plan.core-apps.com/aiche2021/customScreen/aboutShow AICHE 2021]
- +\[Jul 2021\]+ Presented 1 talk and 1 poster at [https://microtas2021.org/ MicroTas 2021]
- +\[Jan 2021\]+ [https://elifesciences.org/articles/60321 Paper] on automatically identifying cells in C. elegans whole-brain images is accepted in eLife.
-- Featured in [https://www.eurekalert.org/pub_releases/2021-03/giot-ict031721.php /Eureka Alert/], [https://medicalxpress.com/visualstories/2021-03-cells-healthy-diseased-behavior.amp /Medical Express/], [https://neurosciencenews.com/cell-ai-neurodegeneration-18078/ /Neuroscience News/]
- +\[Mar 2020\]+ Our [https://www.biorxiv.org/content/10.1101/2020.03.10.986356v1.full paper] on automatically identifying cells in C. elegans whole-brain images is released on biorxiv. [https://github.com/shiveshc/CRF_Cell_ID Code] [https://github.com/shiveshc/CRF_Cell_ID/tree/master/Datasets Datasets]
== Bio
I was trained as a Chemical Engineer at IIT Kanpur where I finished BS-MS dual degree in 2013. There I worked with [https://www.iitk.ac.in/che/faculty/bhattacharya_pk/people.htm Prof. P. K. Bhattacharya] on computational modelling of water management in PEM fuel cells and effects of Schroeder's Paradox. After graduating, I worked with a Management Consulting firm developing data-driven solutions for international firms like Wolters Kluwers, Assurant, T-Mobile. Since 2016 I am a PhD Candidate at Georgia Tech, advised by Prof. Hang Lu, where I work on developing tools for fast and easy processing of whole-brain functional imaging data.